Triple
T12453430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 5 |
E297590
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Dongchuan Road station |
E258510
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dongchuan Road station | Statement: [Shanghai Metro Line 5, hasStation, Dongchuan Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongchuan Road station Context triple: [Shanghai Metro Line 5, hasStation, Dongchuan Road station]
-
A.
Dongchuan Road Station
chosen
Dongchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
B.
Shuicheng Road Station
Shuicheng Road Station is a Shanghai Metro station serving the Changning District in Shanghai, China.
-
C.
Jinyun Road station
Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
-
D.
Dongbaoxing Road station
Dongbaoxing Road station is an underground metro station in Shanghai, China, serving passengers in the Hongkou district as part of the city's rapid transit network.
-
E.
Guoquan Road station
Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66857f5c88190b72debe80fb87727 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:56 p.m.